2008 | OriginalPaper | Buchkapitel
The Transferable Belief Model
verfasst von : Philippe Smets, Robert Kennes
Erschienen in: Classic Works of the Dempster-Shafer Theory of Belief Functions
Verlag: Springer Berlin Heidelberg
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Smets, P. and R. Kennes, The transferable belief model, Artificial Intelligence 66 (1994) 191–234.
We describe the transferable belief model, a model for representing quantified beliefs based on belief functions. Beliefs can be held at two levels: (1) a credal level where beliefs are entertained and quanti?ed by belief functions, (2) a pignistic level where beliefs can be used to make decisions and are quantified by probability functions. The relation between the belief function and the probability function when decisions must be made is derived and justified. Four paradigms are analyzed in order to compare Bayesian, upper and lower probability, and the transferable belief approaches.